fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Textless NLP metrics : absence of script dummy_asr_data.py
- Broken links for (transformer-based) translation models with torch.hub.load
- 'hubert_pretraining' not in tasks.TASK_REGISTRY
- TypeError: __init__() got an unexpected keyword argument 'gradient_as_bucket_view'
- undefined symbol: THPVariableClass
- wav2vec pretained model inference with fairseq and wav2letter python bindings fails
- Training killed with SIGKILL on restarting from checkpoint using FSDP model
- FloatingPointError: Fatal error: gradients are inconsistent between workers
- noising issue
- fairseq-score does not work when --sacrebleu is set
- Docs
- Python not yet supported